Improved injury detection through harmonizing multi-site neuroimaging data after experimental TBI: a Translational Outcomes Project in Neurotrauma consortium study by G. Kislik, R. Fox, A. V. Korotcov, A. V. Korotcov, J. Zhou, M. Febo, Babak Moghadas, Adnan Bibic, Adnan Bibic, Yunfan Zou, Jieru Wan, R. C. Koehler, T. Adebayo, T. Adebayo, M. P. Burns, J. T. McCabe, K. K. Wang, J. R. Huie, A. R. Ferguson, A. Paydar, I. B. Wanner, N. G. Harris, N. G. Harris, the TOP-NT Investigators

“…The present study examined fractional anisotropy data computed from diffusion weighted imaging data at 3 and 30 days post-controlled cortical impact injury from 184 adult rats across four sites as part of the Translational-Outcome-Project-in-Neurotrauma (TOP-NT) Consortium. …”
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Product Family Formal Design Based on Brand DNA Extraction by AIGC Technology by Yiming Zhang, Biyun Wu, Jiating Chen, Yunkai Chen, Mianyu Yu, Lufang Zhang, Zhichuan Tang

“…Most models rely on machine annotation, and little research addresses how design DNA transfers across different product categories within the same brand using this technology. …”
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Epidemic dynamics in the spatio-temporal predator-prey model by Hyangim Ji, Maria Vasilyeva, Nana Adjoah Mbroh, Alexey Sadovski

“…Through extensive numerical simulations across a wide range of ecological and epidemiological parameters, we systematically investigate how disease transmission and spatial diffusion shape population dynamics. …”
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Harnessing the Unique Nature of Evanescent Waves: Optimizing FOEW LSPR Sensors with Absorption-Focused Nanoparticle Design by Omar Awad, AbdulRahman Ghannoum, Patricia Nieva

“…The optical response of silver nanoparticles was modeled across a size range of 10–100 nm, showing that absorption increases with particle number. …”
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Optimization of heat and mass transfer in chemically radiative nanofluids using Cattaneo-Christov fluxes and advanced machine learning techniques by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah S. Berrouk, Waseem Khan, Saeed Islam

“…This paper investigates the effects of heat radiation and magnetic forces on the motion of a viscous nanofluid across a stretched sheet. Cattaneo-Christov fluxes are utilized in this investigation to clarify thermal and concentration diffusions in heat and mass transport. …”
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Artificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law by Zahoor Iqbal, Md Fayz- Al- Asad, Huiying Xu, Xinzhong Zhu, Muhammad Sajjad Hossain, Ridha Selmi, M.M. Alqarni, Sharifah E. Alhazmi, Fahima Hajjej, M.M.H. Imran

“…We investigate the thermal diffusion features in micropolar nanofluid across a porous medium with steady and incompressible, laminar flow with variable properties of magnetic field, thermal and mass expansion coefficient and we thoroughly examine the generation of entropy while considering its extensive applicability in industrial and engineering processes. …”
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Noninvasive Continuous Glucose Monitoring Using Multimodal Near-Infrared, Temperature, and Pressure Signals on the Earlobe by Jongdeog Kim, Bong Kyu Kim, Mi-Ryong Park, Hyoyoung Cho, Chul Huh

“…The system integrates multimodal sensing, combining near-infrared (NIR) diffuse transmission with temperature and pressure sensors. …”
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Individual differences in neurophysiological correlates of post-response adaptation: A model-based approach by Anna Grabowska, Filip Sondej, Julia Haaf, Michael D. Nunez, Magdalena Senderecka

“…The relationship between ERN amplitude and response caution was highly context-dependent, varying across individuals, datasets, and conditions. In contrast, the association between ERN amplitude and attentional focus was more consistent, though influenced by traits related to negative affect. …”
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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Extensive experiments demonstrated the superior performance and effectiveness of the proposed method across four subsets of FaceForensics++ and the Celeb-DF dataset.…”
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Temperature and excipient mediated modulation of monoclonal antibody interactions revealed by kD, rheology, and Raman spectroscopy by Olivia Noelle Eskens, Sabitoj Singh Virk, Akashdeep Singh Virk, Deepika Venkataramani, Maureen Crames, Maria Calderon Vaca, Matthew Matusewicz, Connor Smith, Joshin George, Collin Taylor, Michael S. Marlow, Samiul Amin

“…Using an orthogonal analytical framework comprising diffusion interaction parameter (kD) measurements, high-shear rheometry, and Raman spectroscopic profiling, we interrogated mAb solutions at ~ 80 and 160 mg/mL across a physiologically and industrially relevant thermal window (5–45 °C). …”
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Possible Coexistence of Traumatic Cerebral Microbleeds and Axonal Injury? Postmortem Immunohistochemical Analysis by Dalibor Nedić, Vladimir Pilija, Boris Pejić

“…Diffuse axonal injury (DAI) is a common type of traumatic brain injury, whose detection remains a significant clinical challenge. …”
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Associations between APOE‐TOMM40 ‘523 haplotypes and limbic system white matter microstructure by Katelyn E. Mooney, Derek B. Archer, Aditi Sathe, Timothy J. Hohman, Ose Kadiri, Melissa Lamar, Konstantinos Arfanakis, Lei Yu, Lisa L. Barnes, Kacie D. Deters

“…Highlights White matter microstructure (WMM) across limbic tracts important for cognition was measured by diffusion MRI. …”
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Implementing an intelligent diagnosis and treatment system for in-hospital cardiac arrest in the Utstein style: a multi-center case study by Yan Shao, Zhou Yang, Wei Chen, Yingqi Zhang

“…The system's effectiveness was evaluated using ten years of data from Utstein-style IHCA registries across seven hospitals in China's Hebei Province. …”
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How artificial intelligence-induced job insecurity shapes knowledge dynamics: the mitigating role of artificial intelligence self-efficacy by Byung-Jik Kim, Min-Jik Kim

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Modulation of Protein Dynamics by Glycerol in Water-Soluble Chlorophyll-Binding Protein (WSCP) by Mina Hajizadeh, Maksym Golub, Inga Bektas, Leonid L. Rusevich, Jan P. Embs, Wiebke Lohstroh, Harald Paulsen, Jörg Pieper

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Scaling Out Community Conservation Initiatives: Experts Identify Economic and Social Benefits, Compatibility With Needs, and External Support as Key by Morena Mills, Marie V. Touchon, Elisa Denis, Sarah Milligan, Yasmeen Zuffetti, Zara Ahmad, Zoya Husain, Sushma Shrestha Sangat, Stefan Gelcich, Selma Lendelvo, Bharati Pathak, Alifereti Tawake, Michael B. Mascia, Solofo Nandrianina Ralaimihoatra, Thomas Pienkowski, Matthew Clark, Arundhati Jagadish

“…We interviewed 80 experts across 5 widely adopted community‐based initiatives (in Chile, Nepal, Namibia, Madagascar, and Fiji) to understand their perspectives on the drivers of adoption and spread. …”
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Small global effect on terrestrial net primary production due to increased fossil fuel aerosol emissions from East Asia since the turn of the century by M. O'Sullivan, A. Rap, C. L. Reddington, D. V. Spracklen, M. Gloor, W. Buermann

“…Here we test the hypothesis that increases in atmospheric aerosols from fossil fuel burning enhanced the diffuse light fraction and the efficiency of plant carbon uptake. …”
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Multimodal DTI-ALPS and hippocampal microstructural signatures unveil stage-specific pathways in Alzheimer’s disease progression by Peng Yu, Lu Shen, Lijun Tang, Lijun Tang

“…ObjectiveDevelop a multimodal biomarker framework integrating DTI-ALPS (Diffusion Tensor Imaging along the Perivascular Space), hippocampal diffusivity, and CSF profiles for staging Alzheimer’s disease (AD) progression across the HC → MCI → AD continuum.MethodsCross-sectional analysis of 60 age-matched participants [18 healthy controls (HC), 20 with mild cognitive impairment (MCI), and 22 with Alzheimer’s disease (AD)] combining 3 T MRI-derived biomarkers (bilateral hippocampal fractional anisotropy (FA) and mean diffusivity (MD), and DTI-ALPS). …”
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Improved image reconstruction from brain activity through automatic image captioning by Fatemeh Kalantari, Karim Faez, Hamidreza Amindavar, Soheila Nazari

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A Review of Recent Advances in High-Dynamic-Range CMOS Image Sensors by Jingyang Chen, Nanbo Chen, Zhe Wang, Runjiang Dou, Jian Liu, Nanjian Wu, Liyuan Liu, Peng Feng, Gang Wang

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